spThin: Spatial thinning of Presence-only Data

Description Usage Arguments Details Data type Version Date submitted Author(s) See Also

Description

Apply the stochastic spatial thinning algorithm implemented in the spThin package to presence data in a presence-background dataset

Usage

1
spThin(.data, thin = 50)

Arguments

.data

Internal parameter, do not use in the workflow function. .data is a list of a data frame and a raster object returned from occurrence modules and covariate modules respectively. .data is passed automatically in workflow from the occurrence and covariate modules to the process module(s) and should not be passed by the user.

thin

Thinning parameter - the required minimum distance (in kilometres) between points after applying the thinning procedure

Details

Full details of the algorithm are available in the open-access article by Aiello-Lammens et al. (2015): dx.doi.org/10.1111/ecog.01132

Data type

presence-only

Version

0.1

Date submitted

2017-11-23

Author(s)

Nick Golding, nick.golding.research@gmail.com

See Also

Other process: AddRandomUniformPredictors, BackgroundAndCrossvalid, Background, Bootstrap, CarolinaWrenValidation, Clean, Crossvalidate, JitterOccurrence, LonLatToCovariates, MESSMask, NoProcess, OneHundredBackground, OneThousandBackground, PartitionDisc, RemoveNAs, StandardiseCov, SubsampleOccurrence, TargetGroupBackground, Transform, addInteraction


zoonproject/modules documentation built on May 4, 2019, 11:25 p.m.